As of 2024, an estimate of **** million people lived in Bogotá — the capital of Colombia and most populated city in the country. With **** million, Medellín ranked second that year in the list of largest Colombian cities. Cali, located at the southwest of the country, followed closely behind with nearly *** million inhabitants.

The city of Bogotá, Colombia, ranked second as the Latin American metropolis most prone to traffic jams in 2024. According to the index, the Colombian capital experienced an average traffic increase of 44 percent during rush hours. Peru's capital, Lima, recorded the fifth-worst congestion level that year, meaning that driving in the city took around 39 percent longer at peak time than under low traffic conditions. Out of the top 10 Latin American cities evaluated in 2024, five are located in Colombia.

This dataset provides information on 50 in Colombia as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

As of September 2019, Bogotá, the capital city of Colombia, led the ranking of best cities in Latin America based on healthcare quality. With a score of **** (out of 10), this South American city had the most efficient healthcare system among those included in the study. However, approximately ** percent of Colombians stated not to be satisfied with the country's health system.

Air Quality Forecast: Contaminant Concentration: PM10: Colombia: Cartagena data was reported at 9.570 mcg/Cub m in 22 May 2025. This records an increase from the previous number of 8.103 mcg/Cub m for 21 May 2025. Air Quality Forecast: Contaminant Concentration: PM10: Colombia: Cartagena data is updated daily, averaging 16.206 mcg/Cub m from Oct 2019 (Median) to 22 May 2025, with 2038 observations. The data reached an all-time high of 77.605 mcg/Cub m in 17 May 2020 and a record low of 4.269 mcg/Cub m in 31 Oct 2024. Air Quality Forecast: Contaminant Concentration: PM10: Colombia: Cartagena data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Colombia – Table CAMS.AQF: Air Quality Forecast: Contaminant Concentration: PM10: by Cities. [COVID-19-IMPACT]

Colombia Unemployment: Cali data was reported at 170.006 Person in Apr 2019. This records a decrease from the previous number of 175.528 Person for Mar 2019. Colombia Unemployment: Cali data is updated monthly, averaging 145.520 Person from Sep 2001 (Median) to Apr 2019, with 212 observations. The data reached an all-time high of 192.054 Person in Mar 2013 and a record low of 97.423 Person in Dec 2006. Colombia Unemployment: Cali data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.G031: Unemployment: by City and Industry: Household Survey.

Abstract

The GSHS is a school-based survey which uses a self-administered questionnaire to obtain data on young people's health behaviour and protective factors related to the leading causes of morbidity and mortality among children and adults worldwide.

Geographic coverage

Subnational coverage for Bogotá, Bogotá (official schools), Bogotá (private schools), Bucaramanga City, Cali City, Manizales, and Valledupar City.

Analysis unit

Individuals

Universe

School-going adolescents aged 13-15 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2006 Colombia GSHS was a school-based survey of students in grades 7, 8, 9, and 10. A two-stage cluster sample design was used to produce data representative of all students in grades 7, 8, 9, and 10 in Colombia. At the first stage, schools were selected with probability proportional to enrollment size. At the second stage, classes were randomly selected and all students in selected classes were eligible to participate.

A total of 1,737 students participated in the Colombia (Bogotá) GSHS. A total of 1,170 students participated in the Colombia (Bogotá, official schools) GSHS. A total of 567 students participated in the Colombia (Bogotá, private schools) GSHS. A total of 2,093 students participated in the Colombia (Bucaramanga City) GSHS. A total of 1,945 students participated in the Colombia (Cali City) GSHS. A total of 2,037 students participated in the Colombia (Manizales) GSHS. A total of 2,095 students participated in the Colombia (Valledupar City) GSHS.

Mode of data collection

self-administered

Research instrument

The following core modules were included in the survey: alcohol use dietary behaviours drug use physical activity sexual behaviours tobacco use violence and unintentional injury

Cleaning operations

All data processing (scanning, cleaning, editing, and weighting) was conducted at the US Centers for Disease Control.

Response rate

Bogotá: The school response rate was 92%, the student response rate was 90%, and the overall response rate was 83%. Bogotá, official schools: The school response rate was 97%, the student response rate was 90%, and the overall response rate was 87%. Bogotá, private schools: The school response rate was 85%, the student response rate was 91%, and the overall response rate was 77%. Bucaramanga City: The school response rate was 93%, the student response rate was 86%, and the overall response rate was 81%. Cali City: The school response rate was 90%, the student response rate was 86%, and the overall response rate was 77%. Manizales: The school response rate was 93%, the student response rate was 91%, and the overall response rate was 85%. Valledupar City: The school response rate was 97%, the student response rate was 88%, and the overall response rate was 86%.

[English description below] Estos son los datos para Colombia de la Encuesta de Dinámicas Territoriales y Bienestar 2017-2018, parte del Programa Transformando Territorios de Rimisp, financiado por IDRC y realizado en colaboración, para su componente de investigación, con la Universidad Iberoamericana de México y la Universidad de los Andes de Colombia. La Encuesta de Dinámicas Territoriales y Bienestar (EDTB) es una encuesta de hogares aplicada en territorios rural-urbanos de Chile, Colombia y México durante el 2017 y 2018, en una muestra de cerca de 12 mil hogares entre los tres países. Es comparable entre los tres países. En el caso de Colombia, la encuesta es representativa de la población que vive en territorios funcionales rural-urbanos dentro de cada país, esto es, ciudades pequeñas y medianas (entre 15 mil y 350 mil habitantes) funcionalmente integradas con los municipios rurales colindantes. Estos territorios funcionales representan areas con una alta frecuencia de interacciones sociales y económicas, y con vínculos socio-espaciales complejos entre sus habitantes, organizaciones y firmas. El 33% de la población de Colombia vive en estos territorios. La muestra total para el país es de 4.497 hogares, siendo una muestra representativa de los habitantes de territorios rural-urbanos. Además, en Colombia, la EDTB es la primera encuesta de hogares representativa de los 7 millones de personas que viven en los municipios priorizados por las iniciativas de política del post-conflicto. La EDTB-Colombia incluye un módulo sobre el post-conflicto para obtener información sobre la reincorporación de personas desmovilizadas y reconciliación, incluyendo la percepción de las condiciones de los desmovilizados y los beneficios de la desmovilización, la voluntad a reconciliarse y a compartir actividades diarias con desmovilizados, además de la situación de victimización de los entrevistados o sus conocidos. La EDTB incluye, además de los tradicionales módulos socioeconómicos y demográficos de las encuestas de estándares de vida, módulos innovadores sobre autoempleo, movilidad intergeneracional, aspiraciones, capital social, y relaciones con instituciones locales y nacionales. También incluye información detallada en la distribución espacial de las actividades de los hogares y sus medios de vida: dónde viven, dónde estudian sus hijos, adónde realizan su trabajo, venden sus productos y realizan sus compras, y en dónde acceden a bienes y servicios. La encuesta permite mapear flujos rural-urbanos recíprocos de personas, bienes y servicios, y analizar su correlación con características del hogar, características de su medio y trayectorias de crecimiento inclusivo. De manera importante, la información de la EDTB no incluye solo flujos de zonas rurales a urbanas, sino también de zonas urbanas a rurales. Este nivel de detalle permite también estudiar los resultados en bienestar en relación con la intensidad de los vínculos rural-urbanos y la participación de las personas en estos vínculos. Más aún, el uso de datos de hogares ofrece información sobre las heterogeneidades que existen entre diferences grupos de personas (como los hogares en distintos grupos socioeconómicos y miembros del hogar por género y edad), lo que permite un mejor entendimiento del impacto diferencial que las distintas intervenciones de política territoriales podrían tener para diferentes grupos de la población. La información contenida en la EDTB sobre movimientos relacionados con trabajos, educación , salud y alimentación, pueden guiar la planificación de la inversión y y la coordinacio´n entre unidades administrativas. Nuestros datos se encuentran registrados en 7 archivos diferentes, tanto en formato DTA (para uso con Stata 15) como en CSV: Base hogar ("b1_colombia_base_hogar"): Contiene todas las preguntas de los módulos básicos de la encuesta que consideran al hogar como unidad básica. Base individual ("b2_colombia_base_individual"): Contiene preguntas dirigidas a los distintos miembros del hogar como individuos, principalmente relacionadas con sus actividades laborales y sus características sociodemográficas. Base autoempleado no silvoagropecuario ("b3_colombia_base_autoempleado_no_silvoagropecuario"): Contiene información sobre las actividades autoempleadas de los miembros del hogar, en sectores distintos a la agricultura, ganadería y silvicultura. Base autoempleado silvoagropecuario ("b4_colombia_base_autoempleado_silvoagropecuario"): Contiene información sobre las actividades autoempleadas de los miembros del hogar en agricultura, ganadería y silvicultura. Módulo especial 1 ("e1_colombia_especiales_1"): Contiene información sobre los otros módulos especiales: movilidad intergeneracional, bienestar psicosocial, instituciones públicas y capital social, y percepción del entorno. Además incluye el módulo sobre post-conflicto. 6. Módulo especial 2 ("e2_colombia_especiales_2"): Contiene información sobre los módulos de migración de miembros del hogar. Módulo otros migrantes ("e3_colombia_otros_migrantes"): Contiene información sobre antiguos miembros del hogar que han migrado recientemente. Se pueden encontrar, junto con estos datos, los documentos sobre metodología de muestreo, cuestionarios y diccionarios de variables, en formato PDF. ****************************************************** These are the datasets of the Territorial Dynamics and Wellbeing Household Survey 2017-2018 for Colombia, part of the Transforming Territories Program from Rimisp, financed by IDRC and developed collaboratively, in its research component, with the Universidad Iberoamedicana in Mexico and the Universidad de los Andes in Colombia. The Territorial Dynamics and Wellbeign Household Survey (TDWHS) is a household survey applied in rural-urban territories in Chile, Colombia and Mexico around 2018 on a sample of aproximately 12,000 households for the three countries. Is comparable between the three countries. In the case of Colombia, the survey is representative of the population living in rural-urban functional territories in each country, that is, small and medium cities (between 15 thousand and 350 thousand inhabitants approximately) that are functionally integrated with surrounding rural municipalities. 33% of the population in Colombia lives in those territories. In addition to the typical modules of living standard surveys, the TDWHS includes innovative modules on self-employment, inter-generational mobility, aspirations,social capital, and relationship with local and national institutions. It also includes detailed information on the spatial distribution of household activities and livelihood strategies: where people live and their children go to school, where they work and sell their products, where they buy food and access public goods andservices. Furthermore, in Colombia, the TDWHS is also the first representative household survey of the 7 million people living in the municipalities that were prioritized by the post-conflict policy initiatives. The TDWBHS-Colombia includes a post conflict module to learn about the reincorporation of demobilized people and reconciliation, including theperception of the conditions of the demobilized people and the benefits of demobilization, the willingness to reconcile and to share daily activities with demobilized people, as well as respondents’ victimization or the victimization of their acquaintances. The TDWHS allows to map reciprocal rural-urban flows of people, goods and services, and analyze their correlation with household characteristics, place characteristics and trajectories of inclusive growth. Importantly, the information of the TDWHS does not only include flows from rural to urban, but also from urban to rural. This level of detail also allows investigating people’s welfare outcomes in relation to the intensity of local rural-urban linkages and people’s participation in them. Moreover, the use of household data offers insights on the heterogeneities that exist among different groups of people (such as households in different socioeconomic groups and household members by gender and age), which in turn provides a better understanding of the differential impact that different territorial policy interventions may have for different groups of the population. The information contained in the T&BHS on movements related to jobs, education, health, and food, can guide investments planning and coordination among administrative units. Our data is stored in 7 separated archives per country, available both in DTA (for Stata 15) and in CSV: Household data ("b1_colombia_base_hogar"): Contains all questions in our questionnaire that considered the household as the fundamental unit. Individual data ("b2_colombia_base_individual"): Contains the data asked for different members of the household as individuals, mainly data about jobs and sociodemographic characteristics. Self-employed activities outside agriculture, livestock and forestry ("b3_colombia_base_autoempledo_no_silvoagropecuario"): This dataset contain information about the self-employed activities of household members in any activity other than agrarian, forestry and livestock activities. Self-employed activities outside agriculture, livestock and forestry ("b3_colombia_base_autoempledo_no_silvoagropecuario"): This dataset contain information about the self-employed activities of household members agrarian, forestry and livestock activities. Special modules 1 ("e1_colombia_especiales_1"): Contains information about other special modules: inter-generational mobility, psychosocial wellbeing, political institutions and social capital, and perception of living environment. Also, this file includes the post-conflict module. Special modules 2 ("e2_colombia_especiales_2"): This dataset contains information about migration from household members. Other migrant

Aggregate costs and DALYs for target cities following the start of Wolbachia releasesa.

Most of the estimated amount of Bitcoin ATMs in Colombia were located in capital city Bogotá in June 2025. The Latin American country had about ** cryptocurrency withdrawal machines across the country. They are different from traditional cash machines in that they do not connect to a bank account but connect users to a Bitcoin wallet or exchange. This way, they can convert physical money into digital currency. An open-source website lists Colombia within the top 10 countries worldwide in terms of how many companies accept cryptocurrency payments.

Residents of Pereira reported the highest pet ownership among major Colombian cities, with 69 percent of respondents saying they owned a pet. Among seven of the eight cities surveyed, the percentage of pet owners surpasses 60 percent. Only Bucaramanga showed a lower pet ownership, at only 40 percent.

According to a survey carried out in Colombia in February 2021, more than ***** out of 10 respondents from Santa Marta expressed having feelings of worry or nervousness during the ***** days before the survey. Meanwhile, in Colombia's capital city, Bogotá, these feelings were prevalent among roughly **** percent of interviewees. In 2020, the South American country had almost **** thousand psychiatric care beds.

The city of Bogotá, Colombia, ranked first as the Latin American metropolis most prone to traffic jams in 2020. According to the index, the Colombian capital experienced that year an average traffic increase of 53 percent during rush hours, in comparison to the city's level of traffic in uncongested times. Peru's capital, Lima, recorded the second worst congestion level that year, meaning that a road trip during peak hours took around 42 percent longer than under low traffic conditions. Out of the top 12 Latin American cities evaluated in 2020, seven are located in Brazil.

There has been an overall increase in the number of people living within the city limits of Bogotá throughout the time frame displayed. The population growth has been steady since 2012 leading to reach its highest peak in 2023 for far with around 7.94 million people. The metropolitan area of Bogotá ranked as one of the most populated in Latin America.

As recorded by the source, Moroccans ranked as the foreign nationality with more residents in Spain in 2023, closely followed by Romanians. After years of losing its foreign population, Spain’s immigration figures started to pick up in 2015, with the number of people that moved to the Mediterranean country surpassing the number of foreigners that decided to leave.

A matter of balance The net migration rate of Spain changed its course mainly due to the great inflow of foreigners that move to reside in the Mediterranean country. Spain’s immigration flow slowed down after the 2008 financial crisis, albeit the number of foreigners that opted to change their residence saw a significant growth in the last years. In 2022, Colombians ranked first as the foreign nationality that most relocated to Spain, distantly followed by Moroccans and Ukranians.

Spain does not have the highest number of immigrants in Europe In recent years, the European Union confronted a rising number of refugees arriving from the Middle East. Migration figures show that Germany accommodated approximately 15 million foreign-born citizens, ranking it as the country that most hosted immigrants in Europe in 2022. By comparison, Spain’s foreign population stood slightly over seven million, positioning the Western Mediterranean country third on the European list of foreign-born population. Unfortunately, thousands of persons have died ore gone missing trying to reach Spanish territory, as more and more irregular migrants opt to use dangerous maritime routes to arrive at Southern Europe from Africa's coasts.